Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations.

“Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations.” is a core task performed by Environmental Engineering Technologists and Technicians. Among the occupation's 26 rated tasks, workers place it 24th by importance (#3 most important). About 93% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Document technical designs, procedures, or activities. in Documenting/Recording Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.006% share of AI-use records mapped to this task
• Most common interaction: directive
• Average autonomy of the AI: 2.9 (1–5; higher = more autonomous)
• 94% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Assist in the cleanup of hazardous material spills. · importance 4.2
• Maintain project logbook records or computer program files. · importance 4.1
• Perform environmental quality work in field or office settings. · importance 4.0
• Produce environmental assessment reports, tabulating data and preparing charts, graphs, or sketches. · importance 4.0
• Collect and analyze pollution samples, such as air or ground water. · importance 3.9
• Decontaminate or test field equipment used to clean or test pollutants from soil, air, or water. · importance 3.9
• Prepare and package environmental samples for shipping or testing. · importance 3.9
• Maintain process parameters and evaluate process anomalies. · importance 3.9
• Inspect facilities to monitor compliance with regulations governing substances, such as asbestos, lead, or wastewater. · importance 3.8
• Develop work plans, including writing specifications or establishing material, manpower, or facilities needs. · importance 3.8
• Review technical documents to ensure completeness and conformance to requirements. · importance 3.8
• Receive, set up, test, or decontaminate equipment. · importance 3.8
• Perform statistical analysis and correction of air or water pollution data submitted by industry or other agencies. · importance 3.8
• Evaluate and select technologies to clean up polluted sites, restore polluted air, water, or soil, or rehabilitate degraded ecosystems. · importance 3.7

See all tasks on the Environmental Engineering Technologists and Technicians page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-20513,
  title  = {Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-20513}
}